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Towards an Info-Symbiotic Decision Support System for Disaster Risk Management

Kureshi, I.; Theodoropoulos, G.; Mangina, E.; O'Hare, G.; Roche, J.

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Authors

I. Kureshi

G. Theodoropoulos

E. Mangina

G. O'Hare

J. Roche



Abstract

This paper outlines a framework for an info-symbiotic modelling system using cyber-physical sensors to assist in decision-making. Using a dynamic data-driven simulation approach, this system can help with the identification of target areas and resource allocation in emergency situations. Using different natural disasters as exemplars, we will show how cyber-physical sensors can enhance ground level intelligence and aid in the creation of dynamic models to capture the state of human casualties. Using a virtual command & control centre communicating with sensors in the field, up-to-date information of the ground realities can be incorporated in a dynamic feedback loop. Using other information (e.g. Weather models) a complex and rich model can be created. The framework adaptively manages the heterogeneous collection of data resources and uses agent-based models to create what-if scenarios in order to determine the best course of action.

Citation

Kureshi, I., Theodoropoulos, G., Mangina, E., O'Hare, G., & Roche, J. (2015). Towards an Info-Symbiotic Decision Support System for Disaster Risk Management. In 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2015) : 14-16 October 2015 Chengdu, Sichuan, China ; proceedings (85-91). https://doi.org/10.1109/ds-rt.2015.26

Conference Name 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
Conference Location Chengdu, China
Start Date Oct 14, 2015
End Date Oct 16, 2015
Publication Date Oct 1, 2015
Deposit Date Apr 21, 2016
Publicly Available Date Apr 28, 2016
Publisher Institute of Electrical and Electronics Engineers
Pages 85-91
Series ISSN 1550-6525
Book Title 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2015) : 14-16 October 2015 Chengdu, Sichuan, China ; proceedings.
DOI https://doi.org/10.1109/ds-rt.2015.26
Additional Information Date of Conference: 14-16 October 2015

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